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LaminarNet-50m v0.6.2 — best checkpoint (step 115500, val_loss=3.7881)

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  1. README.md +2 -2
README.md CHANGED
@@ -91,10 +91,10 @@ config = LaminarNetConfig(
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  )
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  model = LaminarNet(config)
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- # Load weights
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  from safetensors.torch import load_file
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  state = load_file(model_path)
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- model.load_state_dict(state)
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  model.eval()
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
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  )
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  model = LaminarNet(config)
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+ # Load weights (head.weight is tied to tok_emb.weight, so strict=False)
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  from safetensors.torch import load_file
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  state = load_file(model_path)
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+ model.load_state_dict(state, strict=False)
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  model.eval()
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")